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eess.SP2020
Reduction in the complexity of 1D 1H-NMR spectra by the use of Frequency to Information Transformation
Homayoun Valafar, Faramarz Valafar
Analysis of 1H-NMR spectra is often hindered by large variations that occur during the collection of these spectra. Large solvent and standard peaks, base line drift and negative p…
eess.SP2020
A Comparative study of Artificial Neural Networks Using Reinforcement learning and Multidimensional Bayesian Classification Using Parzen Density Estimation for Identification of GC-EIMS Spectra of Partially Methylated Alditol Acetates
Faramarz Valafar, Homayoun Valafar
This study reports the development of a pattern recognition search engine for a World Wide Web-based database of gas chromatography-electron impact mass spectra (GC-EIMS) of partia…